Deep learning models for forecasting dengue fever based on climate data in Vietnam
Fig 5
DF forecasting models with RMSE- and MAE-based rankings.
Rankings are based on the relative scores for lowest RMSE or MAE in the prediction of dengue fever one month ahead. Grey-outlined circles indicate mean values. RMSE = root mean square error. MAE = mean absolute error. LSTM = long short-term memory. LSTM-ATT = attention mechanism-enhanced LSTM. CNN = convolutional neural network. Poisson = Poisson regression. XGB = XGBoost Extreme Gradient Boosting. SVR = Support Vector Regressor with Radial Basis Kernel. SVR-L = Support Vector Regressor with Linear Kernel. SARIMA = Seasonal Autoregressive Integrated Moving Average.